Mathematics of Data Science
https://arxiv.org/abs/2607.11938
The Elements of Differentiable Programming
https://arxiv.org/pdf/2403.14606
OPTIMIZATION - A Bootcamp for Machine Learning, Inverse Problems, and Control
https://faculty.washington.edu/sbrunton/OptimizationBootcamp.pdf
Mathematical Foundations of Deep Learning
https://arxiv.org/abs/2603.18387
Mathematical Pathways to Machine Learning
https://xxl12.github.io/from_math_to_ml/
The Hitchhiker's Guide to Agentic AI: From Foundations to Systems
https://paperswithcode.co/paper/2606.24937
The Little Book of Generative AI Foundations: An Intuitive Mathematical Primer
https://arxiv.org/abs/2605.29713
Building LLMs from First Principles
https://ttsugriy.github.io/llm-first-principles
Encyclopedia of Large Language Models and Foundation Models
https://zenodo.org/records/18261143
The Emerging Science of Machine Learning Benchmarks
https://mlbenchmarks.org/
The Principles of Diffusion Models
https://www.arxiv.org/abs/2510.21890
Introduction to Machine Learning Systems
https://github.com/harvard-edge/cs249r_book
Learning Deep Representations of Data Distributions
https://ma-lab-berkeley.github.io/deep-representation-learning-book
Causal Artificial Intelligence - A Roadmap for Building Causally Intelligent Systems
https://causalai-book.net
Understanding Deep Learning
https://udlbook.github.io/udlbook
Deep Learning with Python
https://deeplearningwithpython.io
Foundations of Large Language Models
https://arxiv.org/abs/2501.09223
The Hundred-Page Language Models Book
https://www.thelmbook.com
Neuroevolution
https://neuroevolutionbook.com
Differential Privacy in Artificial Intelligence: From Theory to Practice
https://www.nowpublishers.com/article/BookDetails/9781638284765
Deep Learning and Computational Physics (Lecture Notes)
https://arxiv.org/abs/2301.00942
Open access books in AI, computing, applied math and related areas
https://github.com/AI-Universeity/Books